Posted:  12th April, 2025

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Position: AI CAE Engineer 

Domain:  Automotive / EV / AI ML 

Job Type: Permanent / Contract 

Location: Onsite in West Midlands, UK / Remote  

 

​Job Summary: 

The ideal candidate brings hands-on experience in machine learning model development, integration with engineering simulations, and practical application to propulsion system delivery. You will be responsible for creating advanced digital tools that accelerate and enhance the performance, accuracy, and efficiency of propulsion system simulations and validation workflows. 

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Key Responsibilities: 

• Develop and implement AI/ML models that enhance or automate CAE simulations and analysis processes. 

• Integrate AI solutions into propulsion system simulation workflows to improve virtual development capabilities. 

• Identify simulation bottlenecks and apply AI/ML tools to optimize model performance, reduce processing time, or increase prediction accuracy. 

• Collaborate with CAE, controls, and systems engineering teams to apply AI capabilities in real-world propulsion system development projects. 

• Leverage large datasets from simulations and test data to train and validate AI models. 

• Create scalable frameworks for continuous improvement and learning of deployed ML models within CAE environments. 

• Ensure traceability, validation, and robustness of AI-enhanced tools to support vehicle development milestones. 

• Keep up-to-date with advancements in AI/ML technologies, applying relevant methods such as supervised learning, neural networks, reinforcement learning, etc. 

 

Skills, Knowledge and Experience Required: 

Technical Skills: 

• Solid foundation in Artificial Intelligence (AI) and Machine Learning (ML) principles and model development. 

• Proficiency in Python, including ML libraries such as TensorFlow, PyTorch, Scikit-learn, Keras, etc. 

• Experience with CAE tools and simulation frameworks (e.g., MATLAB/Simulink, GT-SUITE, AMESim, or in-house solvers). 

• Ability to build and integrate ML models within existing simulation pipelines or co-simulation environments. 

• Familiarity with data processing, feature engineering, and model evaluation techniques. 

 

Domain Knowledge: 

• Understanding of propulsion systems (EV/Hybrid/ICE), system behaviour, and key performance indicators. 

• Experience applying AI in an engineering environment, preferably within the automotive or aerospace sector. 

 

Experience: 

• 4+ years of combined experience in CAE simulation and AI/ML model development, ideally with a focus on propulsion or mechanical systems. 

• Hands-on experience in projects involving AI/ML deployment for virtual validation or predictive analytics. 

 

Soft Skills: 

• Strong analytical and creative thinking skills to apply AI in complex engineering contexts. 

• Excellent communication skills for cross-functional collaboration and presenting technical results. 

• Initiative-driven with a passion for innovation and digital transformation. 

 

Education: 

• Bachelor’s or Master’s degree in Mechanical Engineering, Computer Science, Data Science, Mechatronics, or a related field. 

• Additional certifications or training in AI/ML or Data Engineering are highly desirable. 

 

What we offer (For Permanent) 

• Competitive Salary in line with level of experience 

• UK Work Visa sponsorship for eligible candidates 

• Opportunity to be part of world class product development projects 

• Pension Scheme 

• 28 Days Holidays (Annual + Bank Holidays). 

This role may offer the opportunity for hybrid working where you can split your time between working from home and in the office. Hybrid working is a voluntary, non-contractual arrangement providing employees with more choice and flexibility around how, when and where they work, if suitable for their role. Further details can be discussed with the Hiring Manager at interview stage. 

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The applications window for this position shall be closed any time as per the applications we may receive.